• DocumentCode
    2678967
  • Title

    Improving unmanned aerial vehicle pilot training and operation for flying in cluttered environments

  • Author

    Hing, James T. ; Sevcik, Keith W. ; Oh, Paul Y.

  • Author_Institution
    Dept. of Mech. Eng. & Mech. (MEM), Drexel Univ., Philadelphia, PA, USA
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    5641
  • Lastpage
    5646
  • Abstract
    Future applications will bring unmanned aerial vehicles (UAVs) to new environments such as urban areas, causing a change in the way that UAVs are currently operated. However, UAV accidents still occur at a much higher rate than the accident rate for commercial airliners. Therefore, there is a need to better train UAV pilots and augment their performance to minimize accidents. In this paper, the authors present two methods for generating a chase view point (similar to the view of being towed behind the aircraft). Through use of these viewpoints, the authors propose to increase the situational awareness of UAV operators when flying in cluttered environments. The chase view combines a rotated onboard camera view with a virtual representation of the vehicle and the surrounding operating environment. Experiments were conducted evaluating a chase view versus a traditional onboard camera view during UAV flights using a 6 DOF gantry system. Results showed that the chase view improved UAV operator performance.
  • Keywords
    aerospace robotics; mobile robots; remotely operated vehicles; 6 DOF gantry system; cluttered environments; rotated onboard camera view; situational awareness; unmanned aerial vehicle pilot training; virtual representation; Accidents; Aircraft; Cameras; Humans; Relays; Remotely operated vehicles; Student members; Surveillance; Unmanned aerial vehicles; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354080
  • Filename
    5354080